programmatic-seo

programmatic-seo is an SEO strategy & audits skill for AI agents, published by coreyhaines31 in the marketingskills repository on GitHub. Skillspace rates programmatic-seo C (74/100) and it passed the safety scan; a judge model has also reviewed it.

When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," or "templated landing pages." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For auditing existing SEO issues, see seo-audit. For content strategy planning, see content-strategy.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
49,936

Placed #2 of 6 in the judged category final for SEO strategy & audits.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
99 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Judge review

Placed #2 of 6 in the judged category final for SEO strategy & audits.

  • Trigger8888
  • Instructions9090
  • Specificity8282
  • Safety8888
  • Disclosure8585
  • Maintenance7878
Broad, well-sequenced pSEO strategy with a data-defensibility hierarchy and explicit anti-doorway-page guardrails, and it checks for an existing product-marketing file before asking questions.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Also published in 1 other repo

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